More specifically, ED is a framework for constructing dynamical theories of probability. A challenging aspect of this approach is that a fully epistemic interpretation of the wave function \(\Psi \)  is not achieved by merely declaring that the square of a wave function \(|\Psi |^{2}\)  yields a Bayesian probability. Rather, to insure consistency, one must also show that the rules for updating those probabilities — which include both the unitary evolution of the wave function \(\Psi \)  and its “collapse” during a measurement — are in strict accord with Bayesian and entropic methods.In [1]}-[2]} wave function collapse was demonstrated to be an instance of discrete entropic updating via Bayes' rule.
